非公開定向債務(wù)融資工具發(fā)行信用利差研究
本文關(guān)鍵詞:非公開定向債務(wù)融資工具發(fā)行信用利差研究 出處:《北京交通大學(xué)》2017年碩士論文 論文類型:學(xué)位論文
更多相關(guān)文章: 非公開定向債務(wù)融資工具 信用利差 結(jié)構(gòu)化模型 多元線性回歸
【摘要】:非公開定向債務(wù)融資工具是銀行間交易商協(xié)會(huì)于2011年在銀行間債券市場(chǎng)推出的新興債務(wù)融資工具。自推出以來,由于其發(fā)行機(jī)制靈活、發(fā)行流程簡(jiǎn)化,發(fā)行規(guī)模與發(fā)行數(shù)量一直保持高速增長(zhǎng),目前已經(jīng)和中期票據(jù)、短期票據(jù)成為銀行間信用債券市場(chǎng)最重要的組成。然而目前針對(duì)定向工具的研究大部分集中于定性研究,定量研究較少。非公開定向債務(wù)融資工具的定價(jià)機(jī)制比較靈活,由投資人和發(fā)行人直接協(xié)商定價(jià),信用利差是影響其定價(jià)的主要因素,因此將信用利差的研究作為對(duì)定向工具進(jìn)行定量研究的切入點(diǎn)。本文對(duì)信用利差模型進(jìn)行回顧,將主流的結(jié)構(gòu)化模型、簡(jiǎn)約模型、分解理論模型和回歸模型進(jìn)行比較分析。結(jié)合現(xiàn)實(shí)數(shù)據(jù)獲得的難易情況以及對(duì)于信用利差的解釋程度,確定利用回歸分析模型來研究非公開定向債務(wù)融資工具的發(fā)行信用利差。以2016年全年在銀行間市場(chǎng)發(fā)行的非公開定向債務(wù)融資工具為統(tǒng)計(jì)樣本,從發(fā)行規(guī)模、發(fā)行期限、發(fā)行主體評(píng)級(jí)、發(fā)行企業(yè)性質(zhì)和發(fā)行企業(yè)行業(yè)等方面統(tǒng)計(jì)分析定向工具的發(fā)行情況,發(fā)現(xiàn)非公開定向債務(wù)融資工具的發(fā)行期限多集中在中短期,主體評(píng)級(jí)多在AA以上,并且城投債數(shù)量占發(fā)行總量近一半,募集資金大多流向國(guó)有公司。重點(diǎn)研究影響非公開定向債務(wù)融資工具發(fā)行信用利差的因素,從理論角度分析影響其發(fā)行信用利差的宏觀因素、發(fā)行結(jié)構(gòu)因素、企業(yè)性質(zhì)以及行業(yè)因素等,并通過統(tǒng)計(jì)數(shù)據(jù)進(jìn)行初步佐證。最后利用多元線性回歸模型對(duì)上述因素的指標(biāo)進(jìn)行實(shí)證檢驗(yàn),確定其影響是否顯著并對(duì)回歸結(jié)果進(jìn)行分析。本文得出的結(jié)論是,非公開定向債務(wù)融資工具發(fā)行信用利差的決定性影響主要是宏觀因素,如經(jīng)濟(jì)增長(zhǎng)、市場(chǎng)流動(dòng)性及股票市場(chǎng)繁榮程度等,微觀因素如定向工具的發(fā)行規(guī)模、發(fā)行期限、以及評(píng)級(jí)信息對(duì)于定向工具發(fā)行信用利差影響很小。這是由于定向工具本身非公開發(fā)行的特點(diǎn)決定的。
[Abstract]:Non-public debt financing instruments are interbank Dealers Association in 2011 in the inter-bank bond market launch of the new tool for debt financing. Since its introduction, due to the issue of flexible mechanism, the issuance process simplified, issue size and the number of issued has maintained rapid growth, the short-term and medium-term notes, notes become the inter-bank credit bond market the most important component. But the current research orientation tool focused on qualitative research, quantitative research. The pricing mechanism of non-public debt financing instruments by investment and more flexible, the issuer to directly negotiate pricing, credit spreads are the main factors affecting the pricing, so the research of credit spreads as a starting point for the quantitative research on the directional tool. This paper reviews on credit spread model, the structural model, the mainstream of simple models, decomposition theory Comparison of model and regression analysis model. Combined with the difficult reality data obtained and explain the extent for credit spreads, determined by regression analysis model to study the issue of credit spreads of non-public debt financing instruments. In the year 2016 in the interbank market to the non-public debt financing instruments for the statistical sample, from the issue of scale the main issue, issue time, rating, issue issue of corporate property and the issuance of enterprise and industry and other aspects of statistical analysis tool, found that the non-public issuance of debt financing instruments is more concentrated in the short term, the main rating of more than in AA, and the city voted bonds accounted for nearly half the total number of issued to raise funds, mostly to state-owned the company focusing on the factors that influence the non non-public issuance of debt financing instruments of credit spreads, analysis of the issue of the impact of credit from the angle of theory The spread of the macro factors, issuing structure factors, the nature of the enterprise and industry factors, and according to the statistical data preliminary evidence. Finally, using multiple linear regression model of the factors index for empirical test, to determine whether the effect is significant and the analysis of the regression results. The conclusion is that the decisive influence non-public debt financing issuance of credit spreads is the main macro factors, such as economic growth, market liquidity and stock market prosperity, micro factors such as directional tool issue size, issue period, and the rating information for directional issuance of credit spreads have little effect. This is because the tool itself determines the characteristics of the non directional public offering.
【學(xué)位授予單位】:北京交通大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:F832.51
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